Result: Wavelet transform based relay algorithm for the detection of stochastic high impedance faults
Title:
Wavelet transform based relay algorithm for the detection of stochastic high impedance faults
Authors:
Source:
Selected Topics in Power System TransientsElectric power systems research. 76(8):626-633
Publisher Information:
Amsterdam: Elsevier, 2006.
Publication Year:
2006
Physical Description:
print, 16 ref
Original Material:
INIST-CNRS
Subject Terms:
Electrical engineering, Electrotechnique, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Intelligence artificielle, Artificial intelligence, Reconnaissance des formes. Traitement numérique des images. Géométrie algorithmique, Pattern recognition. Digital image processing. Computational geometry, Electrotechnique. Electroenergetique, Electrical engineering. Electrical power engineering, Electroénergétique, Electrical power engineering, Réseaux et lignes électriques, Power networks and lines, Perturbation. Régulation. Protection, Disturbances. Regulation. Protection, Algorithme, Algorithm, Algoritmo, Analyse signal, Signal analysis, Análisis de señal, Approximation plus proche voisin, Nearest neighbor approximation, Courant électrique, Electric current, Corriente eléctrica, Distorsion signal, Signal distortion, Distorsión señal, Défaut arc, Arcing fault, Defecto arco, Détection panne, Failure detection, Detección falla, Logiciel MATLAB, MATLAB software, Programa MATLAB, Méthode stochastique, Stochastic method, Método estocástico, Panne réseau électrique, Power system faults, Protection contre surintensité, Overcurrent protection, Reconnaissance forme, Pattern recognition, Reconocimiento patrón, Réseau distribution, Distribution network, Red distribución, Résultat expérimental, Experimental result, Resultado experimental, Simulation numérique, Numerical simulation, Simulación numérica, Tension électrique, Voltage, Voltaje, Transformation ondelette discrète, Discrete wavelet transforms, High impedance faults, Wavelet transform
Document Type:
Conference
Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Department of Electrical Engineering, The Hong Kong Polytechnic University, Hung Horn, Kowloon, Hong-Kong
Electrical Engineering and Computer Science Department, Tulane University, 211 Stanley Thomas Hall, New Orleans, LA 70118, United States
Electrical Engineering and Computer Science Department, Tulane University, 211 Stanley Thomas Hall, New Orleans, LA 70118, United States
ISSN:
0378-7796
Rights:
Copyright 2006 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Electrical engineering. Electroenergetics
Electrical engineering. Electroenergetics
Accession Number:
edscal.17685110
Database:
PASCAL Archive
Further Information
High impedance faults (HIF) are faults which are difficult to detect by overcurrent protection relays. This paper presents a practical pattern recognition based algorithm for electric distribution high impedance fault detection. The scheme recognizes the distortion of the voltage and current waveforms caused by the arcs usually associated with HIP. The analysis using discrete wavelet transform (DWT) yields three phase voltage and current in the low frequency range which fed to a classifier for pattern recognition. The classifier is based on the algorithm using nearest neighbour rule approach. A HIF model was also developed, where the random nature of the arc was simulated using MATLAB.